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首页> 外文期刊>International journal of communication systems >Analysis of energy-efficient cooperative spectrum sensing with improved energy detectors and multiple antennas over Nakagami-q/n fading channels
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Analysis of energy-efficient cooperative spectrum sensing with improved energy detectors and multiple antennas over Nakagami-q/n fading channels

机译:纳克马伊 - Q / N衰落通道改进能量检测器和多天线的节能协同谱检测分析

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摘要

Cognitive radio (CR) is an advanced technique used for the utilization of radio spectrum. A CR node uses the radio spectrum of a licensed user (called as primary user, PU) deviously. In this work, a cooperative sensing network (CSN) with improved energy detection (IED)-based CR nodes is proposed. Each CR node consists of multiple antennas and perform themselves selection diversity (SC) technique. Each CR node senses a PU through erroneous sensing channel and reports its sensing data (1-bit binary-decision) to the fusion center (FC) through erroneous reporting channels. At FC, existence of PU (presence or absence) is identified using k-out-of-N fusion rule. The novel expressions for detection probability over noise plus Nakagami-q/n fading channels are derived and the mathematical frameworks for analysis of throughput and energy-efficiency of the proposed network are developed. The simulation testbed is also developed and presented in this work to validate the analytically obtained performance characteristics. For several network parameters values, the investigation on comparison between IED and traditional energy detection method for various decision fusion rules is studied. Further, performance characteristics are analytically illustrated for throughput and energy-efficiency over noise plus Nakagami-q/n fading channels. The impact of diversity technique and effect of fading severity parameters on the throughput and energy-efficiency are also investigated. The effect of channel error on total error performance for both proposed and conventional networks is shown. Finally, optimal fusion rule and optimal network parameters values correspond to maximum throughput and maximum energy-efficiency are also identified.
机译:认知无线电(CR)是用于利用无线电频谱的先进技术。 CR节点使用许可用户(称为主要用户,PU)的无线电频谱。在这项工作中,提出了一种具有改进的能量检测(IED)的CR节点的协同感测网络(CSN)。每个CR节点由多个天线组成并执行本身选择分集(SC)技术。每个CR节点通过错误的传感通道感测PU,并通过错误的报告通道向融合中心(FC)报告其对融合中心(FC)的传感数据(1位二进制决定)。在FC,使用K-OUT-N-NUSUTION规则识别PU(存在或缺席)的存在。推导出用于噪声Plus Nakagami-Q / N衰落通道的新表达式,并且开发了用于分析所提出的网络的吞吐量和节能分析的数学框架。在这项工作中也开发并介绍了模拟测试用,以验证分析获得的性能特征。对于几个网络参数值,研究了对各种决策融合规则的IED和传统能量检测方法的比较调查。此外,分析性能特征以通过噪声加上NAKAGAMI-Q / N衰落通道的吞吐量和能量效率进行分析。还研究了多样性技术的影响和衰落严重性参数对吞吐量和能效的影响。示出了通道误差对两个提议和传统网络的总误差性能的影响。最后,还识别了最佳融合规则和最佳网络参数值对应于最大吞吐量和最大能效。

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